Key result
Regression modeling reveals African Swine Fever infected areas are ~80% larger than field carcass estimates.
Why the study?
Early identification of epidemic spreading patterns is crucial for adopting effective interventions, requiring methods that can estimate directional spread using limited datasets.
A simple regression-based method can estimate the directional speed, affected area, and initial date of an epidemic in its early stages, as demonstrated on an African Swine Fever outbreak.
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May aid early ASF containment by revealing underestimated spread; leaves open validation across outbreaks before practice change.
Gervasi et al. (2023) studied African Swine Fever (ASF). Regression-based method for estimating disease spread was evaluated on Directional speed of disease spread and affected area. A simple regression-based method estimated the African Swine Fever spreading speed in northern Italy at 33 to 90 m/day, revealing an infected area 80% larger than identified by field carcasses.
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